Stock Market Forecasting Methods

126 works

THE SIGNIFICANCE OF OPTIMAL ALGORITHMS FOR FRACTIONAL-ORDER DIFFERENTIAL EQUATIONS IN MODELING DYNAMIC PROCESSES IN THE FINANCIAL MARKET
Murodulla Boboqulov
ArticleFinancial Risk and Volatility ModelingNashrlar20260 citations
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Artificial intelligence in the stock market: current trends and development prospects
Yerbolsyn Akbayev, Alimnazar Islamkulov
ArticleCOVID-19, Geopolitics, Technology, Migration20260 citations
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V=N/D H2 Experimental Protocol: Final Submission-Ready Version
Yoshimitsu Katayama, Luna (TheYKHC AI)
ArticleComplex Systems and Time Series AnalysisZenodo (CERN European Organization for Nuclear Research)20260 citations
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V=N/D H2 Experimental Protocol: Final Submission-Ready Version
Yoshimitsu Katayama, Luna (TheYKHC AI)
ArticleComplex Systems and Time Series AnalysisZenodo (CERN European Organization for Nuclear Research)20260 citations
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TheYKHC — Official Publication Catalogue 2026
Yoshimitsu Katayama
ArticleData Analysis with RZenodo (CERN European Organization for Nuclear Research)20260 citations
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Deep Reinforcement Learning for High-Frequency Trading
RPS Chauhan, Kalpana Rawat, Ambuj Kumar Agarwal +3
ArticleStock Market Forecasting Methods20260 citations
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Graph Neural Networks for Modelling Financial Market Dependencies
Rashmi Banchhor, Sulabha Narendra Patil, Gurpreet Kaur +3
ArticleStock Market Forecasting Methods20260 citations
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Sentiment Analysis of Social Media for Stock Price Prediction
Dharmesh Dhabliya, Samariddin Makhmudov, Priyadarshani Singh +3
ArticleStock Market Forecasting Methods20260 citations
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ARTIFICIAL INTELLIGENCE DRIVEN FINANCIAL RISK PREDICTION AND FRAUD DETECTION IN MODERN BANKING SYSTEMS
Gulsanam Kimsanova
ArticleFinancial Distress and Bankruptcy PredictionZenodo (CERN European Organization for Nuclear Research)20260 citations
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ARTIFICIAL INTELLIGENCE DRIVEN FINANCIAL RISK PREDICTION AND FRAUD DETECTION IN MODERN BANKING SYSTEMS
Gulsanam Kimsanova
ArticleFinancial Distress and Bankruptcy PredictionZenodo (CERN European Organization for Nuclear Research)20260 citations
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Cryptocurrency Volatility Prediction Using Deep Learning
Jyoti Gautam, Snehal Swapnil Jawahire, Neha +3
ArticleBlockchain Technology Applications and Security20260 citations
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ARTIFICIAL INTELLIGENCE DRIVEN FINANCIAL RISK PREDICTION AND FRAUD DETECTION IN MODERN BANKING SYSTEMS
Gulsanam Kimsanova
ArticleFinancial Distress and Bankruptcy PredictionZenodo (CERN European Organization for Nuclear Research)20260 citations
ABI
ARTIFICIAL INTELLIGENCE DRIVEN FINANCIAL RISK PREDICTION AND FRAUD DETECTION IN MODERN BANKING SYSTEMS
Gulsanam Kimsanova
ArticleFinancial Distress and Bankruptcy PredictionZenodo (CERN European Organization for Nuclear Research)20260 citations
ABI
Iqtisodiy prognozlashda sun'iy intellektning roli
Qilichov Behro'zbek Bahodir o'g'li
ArticleForecasting Techniques and ApplicationsZenodo (CERN European Organization for Nuclear Research)20260 citations
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Iqtisodiy prognozlashda sun'iy intellektning roli
Qilichov Behro'zbek Bahodir o'g'li
ArticleForecasting Techniques and ApplicationsZenodo (CERN European Organization for Nuclear Research)20260 citations
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Empirical Comparison of LSTM and GRU for Bitcoin Price Prediction
Agrata Gupta, R. Sivakumar, Arul Kumar Natarajan
ArticleStock Market Forecasting Methods20260 citations
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Time-series XAI for FX rate or inflation-linked risk forecasting: Transformer forecasting
Jasur Razzaqov, Mehriddin Amonov, Nematjon Sattarov +3
ArticleRisk Management in Financial FirmsEPJ Web of Conferences20260 citations
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The dynamic frequency-based shock transmission between Bitcoin investors’ emotions and U.S. sectoral stock conditional volatility: assessing the optimal weightage of Bitcoin returns in a U.S. sectoral stock return portfolio
Mosab I. Tabash, Suhaib Anagreh, Suzan Sameer Issa +3
ArticleBlockchain Technology Applications and SecurityCogent Economics & Finance20260 citations
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Confidence-Aware Reward Shaping for Crypto Trading: A Comparative Study of Lightweight Uncertainty Estimation Methods
Farkhod Akhmedov, Young Im Cho, Otabek Sattarov +4
ArticleStock Market Forecasting MethodsMathematics20260 citations
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An Attention-Based Deep Learning Framework for Gold Price Prediction Using Time Series Data
Abhijit T. Somnathe, M. Parameshwari, Sampurnima Pattem +3
ChapterMarket Dynamics and VolatilityLecture notes in networks and systems20260 citations
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Prospects of Using Neural Network Models for Forecasting Tax Revenues
Ulugbek Narmanov, Abdurakhim Vakhabov, Otabek Narmanov +3
ChapterStock Market Forecasting MethodsLecture notes in networks and systems20260 citations
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A Novel Financial Market Prediction Framework Based on Deep Learning for Accurate Trend Forecasting
Priya Shirley Muller, Yadala Sucharitha, Shilpa Kottapally +3
ChapterStock Market Forecasting MethodsLecture notes in networks and systems20260 citations
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AI-Powered Predictive Models for Determinants of Foreign Direct Investment in Emerging Economies
Samariddin Makhmudov, Nazirjon Rajabov, Rustem Shichiyakh +2
ChapterInternational Business and FDILecture notes in electrical engineering20260 citations
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Monetary Policy Transmission through Machine Learning in Digital Payment Dominated Economies
Zokir Mamadiyarov, Kurbonov Jasurbek, Olga Zanina +2
ChapterStock Market Forecasting MethodsLecture notes in electrical engineering20260 citations
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hikari coin os whitepaper v1.0
Yoshimitsu Katayama
PreprintMathematics, Computing, and Information ProcessingZenodo (CERN European Organization for Nuclear Research)20260 citations
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